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freeCodeCamp/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.english.md
Oliver Eyton-Williams bd68b70f3d
Feat: hide blocks not challenges (#39504) 
* fix: remove isHidden flag from frontmatter

* fix: add isUpcomingChange

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

* feat: hide blocks not challenges

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>

Co-authored-by: Ahmad Abdolsaheb <ahmad.abdolsaheb@gmail.com>
2020-09-03 15:07:40 -07:00

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id, title, challengeType, videoId
id title challengeType videoId
5e8f2f13c4cdbe86b5c72d98 Creating a Convolutional Neural Network 11 kfv0K8MtkIc

Description

Tests

question:
  text: |
    Fill in the blanks below to complete the architecture for a convolutional neural network:

    ```py
    model = models.__A__()
    model.add(layers.__B__(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))
    model.add(layers.__C__(2, 2))
    model.add(layers.__B__(64, (3, 3), activation='relu'))
    model.add(layers.__C__(2, 2))
    model.add(layers.__B__(32, (3, 3), activation='relu'))
    model.add(layers.__C__(2, 2))
    ```

  answers:
    - |
      A: `Sequential`

      B: `add`

      C: `Wrapper`
    - |
      A: `keras`

      B: `Cropping2D`

      C: `AlphaDropout`
    - |
      A: `Sequential`

      B: `Conv2D`

      C: `MaxPooling2D`
  solution: 3